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JUnit5 assertThrows MapRankingTest (#215)

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John Patrick 2022-10-21 09:13:37 +01:00 committed by GitHub
parent 5e497dd704
commit 15b2e50328
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1 changed files with 12 additions and 3 deletions
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15
commons-math-neuralnet/src/test/java/org/apache/commons/math4/neuralnet/MapRankingTest.java
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@ -29,10 +29,13 @@ import org.apache.commons.rng.simple.RandomSource;
import org.apache.commons.math4.neuralnet.oned.NeuronString; import org.apache.commons.math4.neuralnet.oned.NeuronString;
import static org.junit.jupiter.api.Assertions.assertThrows;
/** /**
* Tests for {@link MapRanking} class. * Tests for {@link MapRanking} class.
*/ */
public class MapRankingTest { public class MapRankingTest {
/* /*
* Test assumes that the network is * Test assumes that the network is
* *
@ -94,15 +97,20 @@ public class MapRankingTest {
Assert.assertEquals(3, allBest.size()); Assert.assertEquals(3, allBest.size());
} }
@Test(expected = IllegalArgumentException.class) @Test
public void testRankPrecondition() { public void testRankPrecondition() {
final UniformRandomProvider rng = RandomSource.SPLIT_MIX_64.create(); final UniformRandomProvider rng = RandomSource.SPLIT_MIX_64.create();
final FeatureInitializer init final FeatureInitializer init
= new OffsetFeatureInitializer(FeatureInitializerFactory.uniform(rng, -0.1, 0.1)); = new OffsetFeatureInitializer(FeatureInitializerFactory.uniform(rng, -0.1, 0.1));
final FeatureInitializer[] initArray = {init}; final FeatureInitializer[] initArray = {init};
new MapRanking(new NeuronString(3, false, initArray).getNetwork(), final EuclideanDistance distance = new EuclideanDistance();
new EuclideanDistance()).rank(new double[] {-1}, 0); final Network network = new NeuronString(3, false, initArray).getNetwork();
final MapRanking mapRanking = new MapRanking(network, distance);
assertThrows(IllegalArgumentException.class, () ->
mapRanking.rank(new double[]{-1}, 0)
);
} }
@Test @Test
@ -121,4 +129,5 @@ public class MapRankingTest {
Assert.assertEquals(expected[i], sorted.get(i).getIdentifier()); Assert.assertEquals(expected[i], sorted.get(i).getIdentifier());
} }
} }
} }